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Local LLMOps

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May 1, 2024 5 minute read

Local LLMOps is the practice of developing and maintaining large language models (LLMs) on local infrastructure, such as a personal computer or a small cluster of servers. LLMs are a type of artificial intelligence that can understand and generate human-like text, and they can be used for a variety of tasks, such as natural language processing, machine translation, and chatbots.

Why Learn Local LLMOps?

There are several reasons why you might want to learn Local LLMOps:

Curiosity: LLMs are a fascinating new technology, and Local LLMOps gives you the opportunity to learn how they work and how to use them.
Academic requirements: Local LLMOps may be a requirement for some academic programs, such as computer science or data science.
Career development: LLMs are becoming increasingly popular in the tech industry, and Local LLMOps skills can give you a competitive edge in the job market.

Path to Local LLMOps

Take the first step.

We've curated two courses to help you on your path to Local LLMOps. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Databricks to Local LLMs

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Foundations of Local Large Language models

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Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Local LLMOps.

Natural Language Processing with Transformers,...

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Focuses on NLP applications of Transformers, making it relevant for understanding how to use LLMs for specific NLP tasks.

Natural Language Processing with Transformers,...

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Natural Language Processing with Transformers,...

Kindle Edition

Deep Learning for NLP and Speech Recognition

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Covers the theoretical foundations of NLP, with a focus on statistical and probabilistic approaches.

Deep Learning for NLP and Speech Recognition

Paperback

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Deep Learning for NLP and Speech Recognition

Kindle Edition

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Capitalism and Cloves

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Covers the techniques for learning from LLMs, including fine-tuning, transfer learning, and prompting.

Capitalism and Cloves

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Capitalism and Cloves

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Deep Learning

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Provides a broad overview of machine learning, including a chapter on deep learning and NLP.

Deep Learning: A Visual Approach

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Deep Learning: A Visual Approach

Kindle Edition

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Building Machine Learning Systems with Python

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Covers the practical aspects of building machine learning systems, including a section on NLP.

Building Machine Learning Systems with Python -...

Paperback

Building Machine Learning Systems with Python:...

Kindle Edition

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